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      Excessive parallelism in protein evolution of Lake Baikal amphipod species flock

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          Abstract

          Repeated emergence of similar adaptations is often explained by parallel evolution of underlying genes. However, evidence of parallel evolution at amino acid level is limited. When the analyzed species are highly divergent, this can be due to epistasic interactions underlying the dynamic nature of the amino acid preferences: the same amino acid substitution may have different phenotypic effects on different genetic backgrounds. Distantly related species also often inhabit radically different environments, which makes the emergence of parallel adaptations less likely. Here, we hypothesize that parallel molecular adaptations are more prevalent between closely related species. We analyze the rate of parallel evolution in genome-size sets of orthologous genes in three groups of species with widely ranging levels of divergence: 46 species of the relatively recent lake Baikal amphipod radiation, a species flock of very closely related cichlids, and a set of significantly more divergent vertebrates. Strikingly, in genes of amphipods, the rate of parallel substitutions at nonsynonymous sites exceeded that at synonymous sites, suggesting rampant selection driving parallel adaptation. At sites of parallel substitutions, the intraspecies polymorphism is low, suggesting that parallelism has been driven by positive selection and is therefore adaptive. By contrast, in cichlids, the rate of nonsynonymous parallel evolution was similar to that at synonymous sites, while in vertebrates, this rate was lower than that at synonymous sites, indicating that in these groups of species, parallel substitutions are mainly fixed by drift.

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          Author and article information

          Journal
          Genome Biology and Evolution
          Oxford University Press (OUP)
          1759-6653
          July 11 2020
          Affiliations
          [1 ]Skolkovo Institute of Science and Technology, Ulitsa Nobelya, 3, Moscow, Moscow Oblast, 121205, Russia
          [2 ]Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevitch Institute), Bolshoy Karetny per. 19, build.1, Moscow, 127051, Russia
          [3 ]Department of Biostatistics, Harvard T.H. Chan School of Public Health, Landmark 401 Park Drive 3 East, Boston MA 02115, USA
          [4 ]Institute of Biology, Irkutsk State University, Lenin str. 3, Irkutsk, 664003, Russia
          [5 ]Baikal Research Centre, Lenin str. 21, Irkutsk, 664003, Russia
          [6 ]N.A.Pertsov White Sea Biological Station, Lomonosov Moscow State University, Primorskiy, 184042
          [7 ]Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234; Russia
          [8 ]Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor MI 48109, USA
          [9 ]Department of Biological Sciences, East Tennessee State University, Johnson City, TN, 37614 USA
          Article
          10.1093/gbe/evaa138
          7502212
          32653919
          7ce051ce-4e2b-4309-b6d9-180a48ddf251
          © 2020

          http://creativecommons.org/licenses/by/4.0/

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